EBOOK

Streaming Data Simplified: Operationalizing Pipelines for Real-Time Business Decisions

Audience:

Technical level: Introductory

Today’s enterprises are investing in big data, artificial intelligence (AI), machine learning (ML), and building data pipelines that can apply ML models to data as it’s being generated. Known as “streaming,” these organizations are incorporating streaming data pipelines for transformational payoffs.

However, the development of a reliable streaming data pipeline is constrained by complexity at one end, and fragility at the other. Simple or easy to use solutions require significant operational investment, and complex solutions that need to be inherently stable often burden teams with many of the reliability concerns that rightly belong as part of the infrastructure. The problem is meeting both of these constraints while trying not to sacrifice simplicity for reliability.

In this ebook, you’ll explore how to realize true reliability with streaming data pipelines, including what this technology looks like, how it works, and the business value it can bring to your company. You’ll also discover:

  • Key fundamentals for getting started the right way
  • How streaming data pipelines enable ML
  • Real-world stories from Fortune 100 companiess

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ABOUT AUTHOR(S)

About Lightbend

Lightbend (@Lightbend) is leading the enterprise transformation toward real-time, cloud-native applications. Lightbend provides scalable, high-performance microservices frameworks and streaming engines for building data-centric systems that are optimized to run on cloud-native infrastructure like Kubernetes. The most admired brands around the globe are transforming their businesses with Lightbend, engaging billions of users every day through software that is changing the world. For more information, visit www.lightbend.com